Pablo Rosado is a Principal Data Scientist based in Barcelona with 11 years of experience blending astrophysics rigor and practical data engineering to solve complex scientific and business problems. Trained as a gravitational-wave astrophysicist (PhD, Max Planck Institute), he brings deep expertise in Bayesian and frequentist statistics, time-series analysis, numerical simulation and scalable ML pipelines. He has led end-to-end productionisation of interpretable models for organisations from EUIPO to Our World in Data, building semantic and image search, bias-aware deployment pipelines, and energy forecasting systems. An active contributor to open data tooling, he has improved CO2 emissions data pipelines and S3-integrated automation for the widely used Our World in Data repository. Colleagues value his ability to translate advanced models into accountable, business-aligned services and clear presentations for non-technical stakeholders. Outside work he channels creativity into music, video making and science communication, reflecting a habit of turning technical depth into accessible insight.
11 years of coding experience
8 years of employment as a software developer
University of Seville
Master of Science (M.Sc.) Nuclear Physics, Master of Science (M.Sc.) Nuclear Physics at University of Münster
Doctor of Philosophy (PhD) Gravitational Wave Astrophysics and Data Analysis, Doctor of Philosophy (PhD) Gravitational Wave Astrophysics and Data Analysis at Max Planck Institute for Gravitational Physics (Albert Einstein Institute)
Data on CO2 and greenhouse gas emissions by Our World in Data
Role in this project:
Data Engineer
Contributions:1 review, 41 commits, 32 PRs in 11 months
Contributions summary:Pablo primarily contributed to data processing and preparation tasks within the repository. Their work involved modifying scripts to handle variable names and IDs, and they also updated the code to load and prepare datasets, likely related to CO2 emissions data. Furthermore, the user enhanced the project by integrating data-utils for interacting with S3 buckets, reflecting an emphasis on data pipeline automation and cloud integration. Finally, the user refactored code after datautils updates.
Contributions:7 reviews, 157 commits, 54 PRs in 11 months
open-dataelectricitydatasetssustainabilityenergy
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